Results 251 to 260 of about 841,625 (297)

Estimating equations for association structures

Statistics in Medicine, 2004
AbstractThis paper investigates generalized estimating equations for association parameters, which are frequently of interest in family studies, with emphasis on covariance estimation. Separate link functions are used to connect the mean, the scale, and the correlation to linear predictors involving possibly different sets of covariates, and separate ...
Jun Yan
exaly   +3 more sources

Estimating export equations [PDF]

Applied Economics Letters, 2007
Accurate estimates of the price and income elasticities of exports are valuable for growth policies based on trade promotion. However, not sufficient attention seems to have been paid to the specification of the relative price variable in some influential empirical works.
B Bhaskara Rao, Rup Singh
openaire   +1 more source

Robust Estimation Through Estimating Equations

Biometrika, 1984
The paper deals with the choice of parameter definition. It develops the concepts of parameter defining function and effective parameter. It also provides theory and techniques for choosing from a given set of robust parameters the one that can most efficiently be estimated. This theory is applied to location parameters.
Godambe, V. P., Thompson, M. E.
openaire   +1 more source

Penalized Estimating Equations

Biometrics, 2003
Summary. Penalty models—such as the ridge estimator, the Stein estimator, the bridge estimator, and the Lasso—have been proposed to deal with collinearity in regressions. The Lasso, for instance, has been applied to linear models, logistic regressions, Cox proportional hazard models, and neural networks.
openaire   +3 more sources

Techniques for estimating allometric equations

Journal of Morphology, 1975
AbstractMorphologists have long been aware that differential size relationships of variables can be of great value when studying shape. Allometric patterns have been the basis of many interpretations of adaptations, biomechanisms, and taxonomies. It is of importance that the parameters of the allometric equation be as accurate estimates as possible ...
B J, Manaster, S, Manaster
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M-Estimation (Estimating Equations)

2012
In Chapter 1 we made the distinction between the parts of a fully specified statistical model. The primary part is the part that is most important for answering the underlying scientific questions. The secondary part consists of all the remaining details of the model.
Denni D Boos, L A Stefanski
openaire   +1 more source

Recursive Estimation and Difference Equations

Theory of Probability & Its Applications, 1993
See the review in Zbl 0752.62058.
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Hessian Estimate for Heat Equation

The Journal of Geometric Analysis, 2017
The author derives an interior Hessian estimate for the scalar heat equation on a complete Riemannian manifold \((M^n,g)\) which is independent of the covariant derivatives of the curvature. More precisely, assume that the curvature operator is bounded, \(|\mathrm{Rm}|\leq K\) on the geodesic ball \(B_p(\rho)\) centered at \(p\) and with radius \(\rho,\
openaire   +1 more source

Estimating the Solutions of the Boltzmann Equation

Journal of Statistical Physics, 2006
The author wants to study an estimate of the solution of the Boltzmann equation in \(\mathbb R^n\). Two basic lemmas are given. Using both lemmas, he gives the estimate for the integral term included angular momentum, which might permit a progress in the theory of the existence of a weak solution.
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Local influence in estimating equations

Computational Statistics & Data Analysis, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maria Kelly Venezuela, Mônica Carneiro Sandoval, Denise Aparecida Botter   +2 more
openaire   +2 more sources